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A Comparative Study in Wavelets, Curvelets and Contourlets as Denoising Biomedical Images

机译:小波,曲波和轮廓波作为降噪生物医学图像的比较研究

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摘要

A special member of the emerging family of multi scale geometric transforms is the contourlet transform which was developed in the last few years in an attempt to overcome inherent limitations of traditional multistage representations such as curvelets and wavelets. The biomedical images were denoised using firstly wavelet than curvelets and finally contourlets transform and results are presented in this paper. It has been found that contourlets transform outperforms the curvelets and wavelet transform in terms of signal noise ratio
机译:轮廓波变换是新兴的多尺度几何变换家族的一个特殊成员,轮廓曲线变换是最近几年开发的,其目的是克服传统的多级表示形式(如曲线波和小波)的固有局限性。首先使用小波而不是曲线波对生物医学图像进行去噪,最后使用轮廓波进行变换,并在本文中给出结果。已经发现,轮廓波变换在信号噪声比方面优于曲线波和小波变换

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